layoutlmv3-final-v1-BIE – AI Model by noavm | AlphaNeural AI

You can deploy this model and start earning money today!

noavm/
layoutlmv3-final-v1-BIE

like

0

token-classification

generated_from_trainer

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

Views

No views yet

layoutlmv3-final-v1-BIE

This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1338
Precision: 0.9595
Recall: 0.9730
F1: 0.9662
Accuracy: 0.9749

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	2.56	100	2.1535	0.4538	0.5846	0.5109	0.5773
No log	5.13	200	0.7537	0.7399	0.8398	0.7867	0.8664
No log	7.69	300	0.4054	0.8173	0.8869	0.8507	0.9217
No log	10.26	400	0.2619	0.9045	0.9389	0.9214	0.9570
1.1788	12.82	500	0.2051	0.9440	0.9610	0.9524	0.9683
1.1788	15.38	600	0.1780	0.9467	0.9610	0.9538	0.9688
1.1788	17.95	700	0.1569	0.9546	0.9690	0.9617	0.9729
1.1788	20.51	800	0.1417	0.9508	0.9670	0.9588	0.9724
1.1788	23.08	900	0.1339	0.9585	0.9720	0.9652	0.9759
0.1352	25.64	1000	0.1338	0.9595	0.9730	0.9662	0.9749

Framework versions

Transformers 4.30.0.dev0
Pytorch 1.8.0+cu101
Datasets 2.12.0
Tokenizers 0.13.3